An Improved Fast Camera Calibration Method for Mobile Terminals
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초록
Camera calibration is an important part of machine vision and close-range photogrammetry. Since currentcalibration methods fail to obtain ideal internal and external camera parameters with limited computingresources on mobile terminals efficiently, this paper proposes an improved fast camera calibration method formobile terminals. Based on traditional camera calibration method, the new method introduces two-order radialdistortion and tangential distortion models to establish the camera model with nonlinear distortion items. Meanwhile, the nonlinear least square L-M algorithm is used to optimize parameters iteration, the new methodcan quickly obtain high-precise internal and external camera parameters. The experimental results show thatthe new method improves the efficiency and precision of camera calibration. Terminals simulation experimenton PC indicates that the time consuming of parameter iteration reduced from 0.220 seconds to 0.063 seconds(0.234 seconds on mobile terminals) and the average reprojection error reduced from 0.25 pixel to 0.15 pixel. Therefore, the new method is an ideal mobile terminals camera calibration method which can expand theapplication range of 3D reconstruction and close-range photogrammetry technology on mobile terminals.
Abstract
Camera calibration is an important part of machine vision and close-range photogrammetry. Since currentcalibration methods fail to obtain ideal internal and external camera parameters with limited computingresources on mobile terminals efficiently, this paper proposes an improved fast camera calibration method formobile terminals. Based on traditional camera calibration method, the new method introduces two-order radialdistortion and tangential distortion models to establish the camera model with nonlinear distortion items. Meanwhile, the nonlinear least square L-M algorithm is used to optimize parameters iteration, the new methodcan quickly obtain high-precise internal and external camera parameters. The experimental results show thatthe new method improves the efficiency and precision of camera calibration. Terminals simulation experimenton PC indicates that the time consuming of parameter iteration reduced from 0.220 seconds to 0.063 seconds(0.234 seconds on mobile terminals) and the average reprojection error reduced from 0.25 pixel to 0.15 pixel. Therefore, the new method is an ideal mobile terminals camera calibration method which can expand theapplication range of 3D reconstruction and close-range photogrammetry technology on mobile terminals.
참고문헌 (26)
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